The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
Barriers to Superfast Water Transport in Carbon Nanotube Membranes
Abstract
Carbon nanotube (CNT) membranes hold the promise of extraordinary fast water transport for applications such as energy efficient filtration and molecular level drug delivery. However, experiments and computations have reported flow rate enhancements over continuum hydrodynamics that contradict each other by orders of magnitude. We perform large scale molecular dynamics simulations emulating for the first time the micrometer thick CNTs membranes used in experiments. We find transport enhancement rates that are length dependent due to entrance and exit losses but asymptote to 2 orders of magnitude over the continuum predictions. These rates are far below those reported experimentally. The results suggest that the reported superfast water transport rates cannot be attributed to interactions of water with pristine CNTs alone.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Scalable molecular dynamics with NAMD
Phillips, J. C., Braun, R., Wang, W., Gumbart, J., Tajkhorshid, E., Villa, E., Chipot, C., Skeel, R. D., Kalé, L., & Schulten, K. (2005) · Journal of Computational Chemistry · doi:10.1002/jcc.20289 · Cited by 16,914
The missing term in effective pair potentials
Berendsen, H. J. C., Grigera, J. R., & Straatsma, T. P. (1987) · The Journal of Physical Chemistry · doi:10.1021/j100308a038 · Cited by 13,345
The Dynamics of Capillary Flow
Washburn, E. W. (1921) · Physical Review · doi:10.1103/physrev.17.273 · Cited by 7,141
Water conduction through the hydrophobic channel of a carbon nanotube
Hummer, G., Rasaiah, J. C., & Noworyta, J. P. (2001) · Nature · doi:10.1038/35102535 · Cited by 3,557
Fast Mass Transport Through Sub-2-Nanometer Carbon Nanotubes
Holt, J. K., Park, H. G., Wang, Y., Stadermann, M., Artyukhin, A. B., Grigoropoulos, C. P., Noy, A., & Bakajin, O. (2006) · Science · doi:10.1126/science.1126298 · Cited by 3,015
Enhanced flow in carbon nanotubes
Majumder, M., Chopra, N., Andrews, R., & Hinds, B. J. (2005) · Nature · doi:10.1038/438044a · Cited by 1,679
Ueber das Zeitgesetz des kapillaren Aufstiegs von Flüssigkeiten
Lucas, R. (1918) · Kolloid-Zeitschrift · doi:10.1007/bf01461107 · Cited by 1,357
Werder, T., Walther, J. H., Jaffe, R. L., Halicioglu, T., & Koumoutsakos, P. (2003) · The Journal of Physical Chemistry B · doi:10.1021/jp0268112 · Cited by 1,317
Self-citationDesigning Carbon Nanotube Membranes for Efficient Water Desalination
Corry, B. (2008) · The Journal of Physical Chemistry B · doi:10.1021/jp709845u · Cited by 1,017
Osmotic water transport through carbon nanotube membranes
Kalra, A., Garde, S., & Hummer, G. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1633354100 · Cited by 906
Falk, K., Sedlmeier, F., Joly, L., Netz, R. R., & Bocquet, L. (2010) · Nano Letters · doi:10.1021/nl1021046 · Cited by 862
Why Are Carbon Nanotubes Fast Transporters of Water?
Joseph, S., & Aluru, N. R. (2008) · Nano Letters · doi:10.1021/nl072385q · Cited by 834
Ion exclusion by sub-2-nm carbon nanotube pores
Fornasiero, F., Park, H. G., Holt, J. K., Stadermann, M., Grigoropoulos, C. P., Noy, A., & Bakajin, O. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0710437105 · Cited by 706
Fluid flow in carbon nanotubes and nanopipes
Whitby, M., & Quirke, N. (2007) · Nature Nanotechnology · doi:10.1038/nnano.2006.175 · Cited by 667
Water Transport through Ultrathin Graphene
Suk, M. E., & Aluru, N. R. (2010) · The Journal of Physical Chemistry Letters · doi:10.1021/jz100240r · Cited by 565
Levitt, M., Hirshberg, M., Sharon, R., Laidig, K. E., & Daggett, V. (1997) · The Journal of Physical Chemistry B · doi:10.1021/jp964020s · Cited by 561
Carbon Nanotubes in Water: Structural Characteristics and Energetics
Walther, J. H., Jaffe, R., Halicioglu, T., & Koumoutsakos, P. (2001) · The Journal of Physical Chemistry B · doi:10.1021/jp011344u · Cited by 468
Self-citationMajumder, M., Chopra, N., & Hinds, B. J. (2011) · ACS Nano · doi:10.1021/nn200222g · Cited by 351
Pressure-Induced Water Transport in Membrane Channels Studied by Molecular Dynamics
Zhu, F., Tajkhorshid, E., & Schulten, K. (2002) · Biophysical Journal · doi:10.1016/s0006-3495(02)75157-6 · Cited by 345
Measurement of the Rate of Water Translocation through Carbon Nanotubes
Qin, X., Yuan, Q., Zhao, Y., Xie, S., & Liu, Z. (2011) · Nano Letters · doi:10.1021/nl200843g · Cited by 341
Slip length of water on graphene: Limitations of non-equilibrium molecular dynamics simulations
Kumar Kannam, S., Todd, B. D., Hansen, J. S., & Daivis, P. J. (2012) · The Journal of Chemical Physics · doi:10.1063/1.3675904 · Cited by 262
Filling and emptying kinetics of carbon nanotubes in water
Waghe, A., Rasaiah, J. C., & Hummer, G. (2002) · The Journal of Chemical Physics · doi:10.1063/1.1519861 · Cited by 233
Angelikopoulos, P., Papadimitriou, C., & Koumoutsakos, P. (2012) · The Journal of Chemical Physics · doi:10.1063/1.4757266 · Cited by 198
Self-citationPressure-driven water flow through carbon nanotubes: Insights from molecular dynamics simulation
Thomas, J. A., McGaughey, A. J. H., & Kuter-Arnebeck, O. (2010) · International Journal of Thermal Sciences · doi:10.1016/j.ijthermalsci.2009.07.008 · Cited by 181
What Makes an Aquaporin a Glycerol Channel? A Comparative Study of AqpZ and GlpF
Wang, Y., Schulten, K., & Tajkhorshid, E. (2005) · Structure · doi:10.1016/j.str.2005.05.005 · Cited by 179
End Correction for Slow Viscous Flow through Long Tubes
Weissberg, H. L. (1962) · The Physics of Fluids · doi:10.1063/1.1724469 · Cited by 164
Why are slip lengths so large in carbon nanotubes?
Myers, T. G. (2010) · Microfluidics and Nanofluidics · doi:10.1007/s10404-010-0752-7 · Cited by 116
Effect of Nanochannel Dimension on the Transport of Water Molecules
Su, J., & Guo, H. (2012) · The Journal of Physical Chemistry B · doi:10.1021/jp211650s · Cited by 109
Curvature Induced L-Defects in Water Conduction in Carbon Nanotubes
Zimmerli, U., Gonnet, P., Walther, J. H., & Koumoutsakos, P. (2005) · Nano Letters · doi:10.1021/nl0503126 · Cited by 97
Self-citation
Cited by
Yun, E.-T., Lee, J. H., Kim, J., Park, H.-D., & Lee, J. (2018) · Environmental Science & Technology · doi:10.1021/acs.est.8b00959 · Cited by 1,175
A review on RO membrane technology: Developments and challenges
Shenvi, S. S., Isloor, A. M., & Ismail, A. F. (2015) · Desalination · doi:10.1016/j.desal.2014.12.042 · Cited by 592
Wettability effect on nanoconfined water flow
Wu, K., Chen, Z., Li, J., Li, X., Xu, J., & Dong, X. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1612608114 · Cited by 567
A review on inorganic membranes for desalination and wastewater treatment
Goh, P. S., & Ismail, A. F. (2018) · Desalination · doi:10.1016/j.desal.2017.07.023 · Cited by 537
Stochastic transport through carbon nanotubes in lipid bilayers and live cell membranes
Geng, J., Kim, K., Zhang, J., Escalada, A., Tunuguntla, R., Comolli, L. R., Allen, F. I., Shnyrova, A. V., Cho, K. R., Munoz, D., et al. (2014) · Nature · doi:10.1038/nature13817 · Cited by 434
Metadata
- Authors
- Walther, J. H., Ritos, K., Cruz-Chu, E. R., Megaridis, C. M., & Koumoutsakos, P.
- Venue
- Nano Letters
- Publisher
- American Chemical Society (ACS)
- Published
- 2013-04-12
- Volume
- 13
- Issue
- 5
- Pages
- 1910-1914
- ISSN
- 1530-6984 (ISSN-L)
- 1530-6992
- OpenAlex
- W1999590777
- Cited by
- 254
- References
- 29
- FWCI
- 12.58
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
